{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Linear Regression Using SVRGModule on YearPredictionMSD Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook, a linear regression model will be fit on YearPredictionMSD dataset, which contains predictions of the release year of a song based on its audio features. The dataset has 90 features and over 400,000 samples. The dataset is downsampled to 5,000 in this experiment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import json\n",
    "import sys\n",
    "import tempfile\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as mpatches\n",
    "import mxnet as mx\n",
    "from mxnet.contrib.svrg_optimization.svrg_module import SVRGModule\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from sklearn.datasets import load_svmlight_file\n",
    "\n",
    "sys.path.insert(0, \"../linear_regression\")\n",
    "from data_reader import get_year_prediction_data\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read Data\n",
    "The first step is to get the training features and labels and normalize the data. In this example, we will use 5000 data samples.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extracting data...\n",
      "Reading data from disk...\n"
     ]
    }
   ],
   "source": [
    "feature_dim, train_features, train_labels = get_year_prediction_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_features = train_features[-5000:]\n",
    "train_labels   = train_labels[-5000:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create Linear Regression Network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_lin_reg_network(batch_size=100):\n",
    "    train_iter = mx.io.NDArrayIter(train_features, train_labels, batch_size=batch_size, shuffle=True,\n",
    "                               data_name='data', label_name='label')\n",
    "    data = mx.sym.Variable(\"data\")\n",
    "    label = mx.sym.Variable(\"label\")\n",
    "    weight = mx.sym.Variable(\"fc_weight\", shape=(1, 90))\n",
    "    net = mx.sym.dot(data, weight.transpose())\n",
    "    bias = mx.sym.Variable(\"fc_bias\", shape=(1,), wd_mult=0.0, lr_mult=10.0)\n",
    "    net = mx.sym.broadcast_plus(net, bias)\n",
    "    net = mx.sym.LinearRegressionOutput(data=net, label=label)\n",
    "    \n",
    "    return train_iter, net"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### SVRGModule with SVRG Optimization\n",
    "In this example, we will use intermediate level API for SVRGModule and the dump mse per epoch to JSON file for plotting graphs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train_svrg_lin_reg(num_epoch=100, batch_size=100, update_freq=2, output='svrg_lr.json', \n",
    "                       optimizer_params=None):\n",
    "\n",
    "    di, net = create_lin_reg_network(batch_size=batch_size)\n",
    "    \n",
    "    #Create a SVRGModule\n",
    "    mod = SVRGModule(symbol=net, context=mx.cpu(0), data_names=['data'], label_names=['label'], update_freq=update_freq)\n",
    "    mod.bind(data_shapes=di.provide_data, label_shapes=di.provide_label)\n",
    "    mod.init_params(initializer=mx.init.Zero(), allow_missing=False, force_init=False, allow_extra=False)\n",
    "    mod.init_optimizer(kvstore='local', optimizer='sgd', optimizer_params=optimizer_params)\n",
    "    metrics = mx.metric.create(\"mse\")\n",
    "    \n",
    "    results = {}\n",
    "    for e in range(num_epoch):\n",
    "        results[e] = {}\n",
    "        metrics.reset()\n",
    "        if e % mod.update_freq == 0:\n",
    "            mod.update_full_grads(di)\n",
    "        di.reset()\n",
    "        for batch in di:\n",
    "            mod.forward_backward(data_batch=batch)\n",
    "            mod.update()\n",
    "            mod.update_metric(metrics, batch.label)\n",
    "        results[e][\"mse\"] = metrics.get()[1]\n",
    "   \n",
    "    f = open(output, 'w+')\n",
    "    f.write(json.dumps(results, indent=4, sort_keys=True))\n",
    "    f.close()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Module with SGD Optimization "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train_sgd_lin_reg(num_epoch=100, batch_size=100, update_freq=2, output='sgd_lr.json', \n",
    "                       optimizer_params=None):\n",
    "    \n",
    "    di, net = create_lin_reg_network(batch_size=batch_size)\n",
    "    \n",
    "    #Create a standard module\n",
    "    mod = mx.mod.Module(symbol=net, context=mx.cpu(0), data_names=['data'], label_names=['label'])\n",
    "    mod.bind(data_shapes=di.provide_data, label_shapes=di.provide_label)\n",
    "    mod.init_params(initializer=mx.init.Zero(), allow_missing=False, force_init=False, allow_extra=False)\n",
    "    mod.init_optimizer(kvstore='local', optimizer='sgd', optimizer_params=optimizer_params)\n",
    "    metrics = mx.metric.create(\"mse\")\n",
    "    \n",
    "    results = {}\n",
    "    for e in range(num_epoch):\n",
    "        results[e] = {}\n",
    "        metrics.reset()\n",
    "        di.reset()\n",
    "        for batch in di:\n",
    "            mod.forward_backward(data_batch=batch)\n",
    "            mod.update()\n",
    "            mod.update_metric(metrics, batch.label)\n",
    "        results[e][\"mse\"] = metrics.get()[1]\n",
    "    f = open(output, 'w+')\n",
    "    f.write(json.dumps(results, indent=4, sort_keys=True))\n",
    "    f.close()\n",
    "  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training Loss over 100 Epochs Using lr_scheduler\n",
    "When a large learning rate is used with SGD, training loss will drop fast but will oscillates above the minimum and never converges. With a small learning rate, it will eventually reach the minimum after many iterations. A common practice is to use learning rate scheduling by starting with a large learning rate and gradually decreasing it. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_svrg_lin_reg(optimizer_params={'lr_scheduler': mx.lr_scheduler.FactorScheduler(step=10, factor=0.99)})\n",
    "train_sgd_lin_reg(optimizer_params={'lr_scheduler': mx.lr_scheduler.FactorScheduler(step=10, factor=0.99)})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'Epochs')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot graph\n",
    "#Plot training loss over Epochs:\n",
    "color = sns.color_palette()\n",
    "#Draw Weight Variance Ratio\n",
    "dataplot3 = {\"svrg_mse\": [], \"sgd_mse\": []}\n",
    "with open('sgd_lr.json') as sgd_data, open('svrg_lr.json') as svrg_data:\n",
    "    sgd = json.load(sgd_data)\n",
    "    svrg = json.load(svrg_data)\n",
    "    for epoch in range(100):\n",
    "        dataplot3[\"svrg_mse\"].append(svrg[str(epoch)][\"mse\"])\n",
    "        dataplot3[\"sgd_mse\"].append(sgd[str(epoch)][\"mse\"])\n",
    "\n",
    "x3 = list(range(100))\n",
    "plt.figure(figsize=(20, 12))\n",
    "plt.title(\"Training Loss Over Epochs\")\n",
    "sns.pointplot(x3, dataplot3['svrg_mse'], color=color[9])\n",
    "sns.pointplot(x3, dataplot3['sgd_mse'], color=color[8])\n",
    "color_patch1 = mpatches.Patch(color=color[9], label=\"svrg_mse\")\n",
    "color_patch2 = mpatches.Patch(color=color[8], label=\"sgd_mse\")\n",
    "plt.legend(handles=[color_patch1, color_patch2])\n",
    "plt.ylabel('Training Loss', fontsize=12)\n",
    "plt.xlabel('Epochs', fontsize=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training Loss Comparison with SGD with fixed learning rates\n",
    "Choosing learning rate (0.0025, 0.001, 0.005) for SGD and a relatively large learning rate 0.025 for SVRG, we can see SVRG smoothly goes down faster than SGD. Learning rate for SVRG does not need to decay to zero, which means we can start with a larger learning rate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_svrg_lin_reg(output=\"svrg_0.025.json\", optimizer_params=(('learning_rate', 0.025),))\n",
    "train_sgd_lin_reg(output=\"sgd_0.001.json\", optimizer_params=((\"learning_rate\", 0.001),))\n",
    "train_sgd_lin_reg(output=\"sgd_0.0025.json\", optimizer_params=((\"learning_rate\", 0.0025),))\n",
    "train_sgd_lin_reg(output=\"sgd_0.005.json\", optimizer_params=((\"learning_rate\", 0.005),))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'Epochs')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot training loss over Epochs:\n",
    "color = sns.color_palette()\n",
    "#Draw Weight Variance Ratio\n",
    "dataplot3 = {\"svrg_mse\": [], \"sgd_mse_lr_0.001\": [], \"sgd_mse_lr_0.0025\": [], \"sgd_mse_lr_0.005\":[]}\n",
    "with open('sgd_0.001.json') as sgd_data, open('svrg_0.025.json') as svrg_data, open('sgd_0.0025.json') as sgd_data_2, open('sgd_0.005.json') as sgd_data_3:\n",
    "    sgd = json.load(sgd_data)\n",
    "    svrg = json.load(svrg_data)\n",
    "    sgd_lr = json.load(sgd_data_2)\n",
    "    sgd_lr_2 = json.load(sgd_data_3)\n",
    "    for epoch in range(100):\n",
    "        dataplot3[\"svrg_mse\"].append(svrg[str(epoch)][\"mse\"])\n",
    "        dataplot3[\"sgd_mse_lr_0.001\"].append(sgd[str(epoch)][\"mse\"])\n",
    "        dataplot3[\"sgd_mse_lr_0.0025\"].append(sgd_lr[str(epoch)][\"mse\"])\n",
    "        dataplot3[\"sgd_mse_lr_0.005\"].append(sgd_lr_2[str(epoch)][\"mse\"])\n",
    "\n",
    "x3 = list(range(100))\n",
    "plt.figure(figsize=(20, 12))\n",
    "plt.title(\"Training Loss Over Epochs\")\n",
    "sns.pointplot(x3, dataplot3['svrg_mse'], color=color[9])\n",
    "sns.pointplot(x3, dataplot3['sgd_mse_lr_0.001'], color=color[8])\n",
    "sns.pointplot(x3, dataplot3['sgd_mse_lr_0.0025'], color=color[3])\n",
    "sns.pointplot(x3, dataplot3['sgd_mse_lr_0.005'], color=color[7])\n",
    "color_patch1 = mpatches.Patch(color=color[9], label=\"svrg_mse_lr_0.025\")\n",
    "color_patch2 = mpatches.Patch(color=color[8], label=\"sgd_mse_lr_0.001\")\n",
    "color_patch3 = mpatches.Patch(color=color[3], label=\"sgd_mse_lr_0.0025\")\n",
    "color_patch4 = mpatches.Patch(color=color[7], label=\"sgd_mse_lr_0.005\")\n",
    "plt.legend(handles=[color_patch1, color_patch2, color_patch3, color_patch4])\n",
    "plt.ylabel('Training Loss', fontsize=12)\n",
    "plt.xlabel('Epochs', fontsize=12)"
   ]
  }
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